المؤلفون: Dai, Ling, Sheng, Bin, Chen, Tingli, Wu, Qiang, Liu, Ruhan, Cai, Chun, Wu, Liang, Yang, Dawei, Hamzah, Haslina, Liu, Yuexing, Wang, Xiangning, Guan, Zhouyu, Yu, Shujie, Li, Tingyao, Tang, Ziqi, Ran, Anran, Che, Haoxuan, Chen, Hao, Zheng, Yingfeng, Shu, Jia, Huang, Shan, Wu, Chan, Lin, Shiqun, Liu, Dan, Li, Jiajia, Wang, Zheyuan, Meng, Ziyao, Shen, Jie, Hou, Xuhong, Deng, Chenxin, Ruan, Lei, Lu, Feng, Chee, Miaoli, Quek, Ten Cheer, Srinivasan, Ramyaa, Raman, Rajiv, Sun, Xiaodong, Wang, Ya Xing, Wu, Jiarui, Jin, Hai, Dai, Rongping, Shen, Dinggang, Yang, Xiaokang, Guo, Minyi, Zhang, Cuntai, Cheung, Carol Y., Tan, Gavin Siew Wei, Tham, Yih-Chung, Cheng, Ching-Yu, Li, Huating

المصدر: Nature Medicine ; ISSN 1078-8956 1546-170X

مصطلحات موضوعية: General Biochemistry, Genetics and Molecular Biology, General Medicine

الإتاحة: https://doi.org/10.1038/s41591-023-02702-zTest
https://www.nature.com/articles/s41591-023-02702-z.pdfTest
https://www.nature.com/articles/s41591-023-02702-zTest

المؤلفون: Elsawy, Amr, Keenan, Tiarnan D. L., Chen, Qingyu, Thavikulwat, Alisa T., Bhandari, Sanjeeb, Quek, Ten Cheer, Goh, Jocelyn Hui Lin, Tham, Yih-Chung, Cheng, Ching-Yu, Chew, Emily Y., Lu, Zhiyong

المصدر: Communications Medicine ; volume 3, issue 1 ; ISSN 2730-664X

الإتاحة: https://doi.org/10.1038/s43856-023-00410-wTest
https://www.nature.com/articles/s43856-023-00410-w.pdfTest
https://www.nature.com/articles/s43856-023-00410-wTest

المؤلفون: Quek, Ten Cheer, Takahashi, Kengo, Kang, Hyun Goo, Thakur, Sahil, Deshmukh, Mihir, Tseng, Rachel Marjorie Wei Wen, Nguyen, Helen, Tham, Yih-Chung, Rim, Tyler Hyungtaek, Kim, Sung Soo, Yanagi, Yasuo, Liew, Gerald, Cheng, Ching-Yu

المساهمون: SingHealth

المصدر: EPMA Journal ; volume 13, issue 4, page 547-560 ; ISSN 1878-5085

مصطلحات موضوعية: Biochemistry (medical), Health Policy, Drug Discovery

الإتاحة: https://doi.org/10.1007/s13167-022-00301-5Test

المؤلفون: Betzler, Bjorn Kaijun, Yang, Henrik Hee Seung, Thakur, Sahil, Yu, Marco, Quek, Ten Cheer, Da Soh, Zhi, Lee, Geunyoung, Tham, Yih-Chung, Wong, Tien Yin, Rim, Tyler Hyungtaek, Cheng, Ching-Yu

المساهمون: OPHTHALMOLOGY, DUKE-NUS MEDICAL SCHOOL, DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL)

المصدر: Scopus OA2021

مصطلحات موضوعية: Artificial intelligence, Deep learning, Gender, Ophthalmology, Retina

العلاقة: Betzler, Bjorn Kaijun, Yang, Henrik Hee Seung, Thakur, Sahil, Yu, Marco, Quek, Ten Cheer, Da Soh, Zhi, Lee, Geunyoung, Tham, Yih-Chung, Wong, Tien Yin, Rim, Tyler Hyungtaek, Cheng, Ching-Yu (2021-08-17). Gender prediction for a multiethnic population via deep learning across different retinal fundus photograph fields: Retrospective cross-sectional study. JMIR Medical Informatics 9 (8) : e25165. ScholarBank@NUS Repository. https://doi.org/10.2196/25165Test; https://scholarbank.nus.edu.sg/handle/10635/232429Test

الإتاحة: https://doi.org/10.2196/25165Test
https://scholarbank.nus.edu.sg/handle/10635/232429Test

المؤلفون: Kochhar, Jaspreet Singh, Quek, Ten Cheer, Soon, Wei Jun, Choi, Jaewoong, Zou, Shui, Kang, Lifeng

المصدر: Journal of Pharmaceutical Sciences ; volume 102, issue 11, page 4100-4108 ; ISSN 0022-3549

مصطلحات موضوعية: Pharmaceutical Science

الإتاحة: https://doi.org/10.1002/jps.23724Test
https://api.elsevier.com/content/article/PII:S0022354915308327?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S0022354915308327?httpAccept=text/plainTest